Published December 12, 2021
| Version v4.0
Dataset
Open
Technology pathways could help drive the U.S. West Coast grid's exposure to hydrometeorological uncertainty (Figure Data)
Authors/Creators
- 1. Department of Civil, Construction, and Environmental Engineering, North Carolina State University, Raleigh, NC 27695, United States
- 2. Department of Forestry and Environmental Resources, North Carolina State University, Raleigh, NC 27695, United States
- 3. Pacific Northwest National Laboratory, Seattle, WA, 98109
- 4. Civil and Environmental Engineering Department, University of Washington, Seattle WA, 98195
- 5. German Aerospace Center, Stuttgart, Germany
Description
Data used to create figures for:
Wessel, J., Kern, J.D., Voisin, N., Oikonomou, K., Haas, J. (2021). “Technology pathways could drive the U.S. West Coast grid's exposure to hydrometeorological uncertainty”.
California and West Coast Power System (CAPOW) model is Python based. The model was built to simulate the operations of the major markets comprising the West Coast bulk electric power system: the Mid-Columbia (Mid-C) market, and the California Independent System Operator (CAISO). This version adds future technology pathways, EV adoption, and battery storage.
See https://github.com/jawessel/CAPOW_pathways (v1.0 release) for version of CAPOW model used.
Files
CAPOW_pathways_fig_data_V4.zip
Additional details
Related works
- Is supplement to
- Software: https://github.com/jawessel/CAPOW_pathways (URL)